What the data for this category looks like
Market and yield data for the optoelectronics category is primarily sourced from domestic stock exchange public market APIs and segmented category data APIs from industry news platforms. Two update schedules apply:
- Daily yield data is updated in batches after each trading day closes
- Intraday yield data updates every 5 minutes
Each data entry uses structured JSON format, including fields such as ticker code, ticker name, benchmark price, current price, yield metrics, trading volume, trading amount, and more. Units follow standard financial market conventions: yield metrics use percentage, trading volume uses shares, trading amount uses yuan.
What constraints do these characteristics impose on database and operations workflows
Implement concurrency control when pulling data from multiple source APIs, to avoid triggering third-party interface rate limits and disrupting data update timeliness. Configure databases to support mixed read-write modes while ensuring data consistency, to accommodate both real-time writes for high-frequency intraday data and batch writes for daily data. Complete structured validation of multiple fields before writing data, to prevent dirty data from entering the database and affecting subsequent analysis. Submit write requests in batches when performing updates across multiple tickers, to prevent service interruptions caused by database table locks. Monitor availability and latency for each data source across the long data pipeline, to ensure accuracy and timeliness of data updates.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DB_POOL_MAX_CONNECTIONS | 10–15 | Adapts to concurrent write requirements for high-frequency data synchronization across multiple optoelectronics tickers, prevents database denial of service caused by exhausted connections |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Optoelectronics market data requires multi-field format validation; a longer timeout prevents data parsing interruptions |
KNOWLEDGE_BASE_SYNC_BATCH | 50 entries per batch | Syncing too many ticker data in a single batch increases database table lock risk; batching adapts to batch update scenarios |
DATA_VALIDATION_ENABLE | Enabled | Optoelectronics yield data requires format validity checks to prevent dirty data from being written to the database |
INDEX_CREATION_BATCH_SIZE | 200 entries | Adapts to the index creation rhythm of market data, prevents excessive database resource usage from a single index creation operation |
The parameter values provided on this page are common starting points for configuration work. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- An
Invalid array lengtherror occurs during question-answer splitting operations. The cause is that theDATA_VALIDATION_ENABLEconfiguration is not enabled, allowing dirty yield data with abnormal formats to be written to the database, leading to array parsing failure during splitting. - Knowledge base indexes cannot be created after PG database deployment. The cause is that
DB_POOL_MAX_CONNECTIONSis set too small; concurrent index creation requests exhaust database connections, causing index write failures. - The knowledge base cannot be accessed normally after backup data restoration. The cause is that only project files were synced during restoration, while database index metadata was not synced, leading to a mismatch between the database table structure and the backup node.
How to Confirm Proper Configuration
- Run a single ticker data synchronization task, check database connection pool monitoring metrics to confirm that the number of connections does not exceed the configured
DB_POOL_MAX_CONNECTIONSvalue. - Submit a batch synchronization task, observe database write logs to confirm that no table lock or timeout errors occur.
- Manually trigger a question-answer splitting operation, check system logs for errors related to
Invalid array length. - Restore backup data, log in to the database to confirm that the knowledge base table structure matches the metadata of the backup node.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.